Hong-Guo Liu

101 papers receiving 1.4k citations

Peers

Hong-Guo Liu
Comparison fields: 5 of 100
  • Materials Chemistry 974
  • Organic Chemistry 408
  • Biomedical Engineering 311
  • Electronic, Optical and Magnetic Materials 300
  • Electrical and Electronic Engineering 258
Replace Idalia Bilecka with:
Idalia Bilecka Switzerland
Fayna Mammeri France
Bradley D. Fahlman United States
Tieyu Cui China
Eric V. Formo United States
J. Sánchez‐Marcos Spain
Jean‐Yves Chane‐Ching France
Vivek Mehrotra United States
Bishnu Prasad Bastakoti Japan
Hong-Guo Liu relative to Idalia Bilecka Switzerland Idalia Bilecka's profile →
Citations per field
00.5×1.5×
Idalia Bilecka · 1×
Citations per year

Countries citing papers authored by Hong-Guo Liu

Since Specialization
Citations

This map shows the geographic impact of Hong-Guo Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hong-Guo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong-Guo Liu more than expected).

Fields of papers citing papers by Hong-Guo Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong-Guo Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hong-Guo Liu. The network helps show where Hong-Guo Liu may publish in the future.

Co-authorship network of co-authors of Hong-Guo Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong-Guo Liu. A scholar is included among the top collaborators of Hong-Guo Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hong-Guo Liu. Hong-Guo Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 6
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6 2
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8 9
9 14
10 17
11
Performance of heat-resistant steel P92 used in 1000 MW ultra supercritical unit after long-term service at high temperature
2
12
Problems Analysis and Countermeasures for New Type of Heat-Resistant Steel Applying in USC Boiler
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13 8
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Performance on New Heat-resistant Steel HR3C in the Ultra-supercritical Units After Service at High Temperature for 25000 Hours
1
15 42
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Application of New Type Heat-resistant Steel T/P92 and T/P122 in Ultra-supercritical Unit and Quality Control
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17
The turbine bush failure analysis of ultra supercritical unit
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18 39
19 7
20 7

About Hong-Guo Liu

Hong-Guo Liu is a scholar working on Materials Chemistry, Organic Chemistry and Electronic, Optical and Magnetic Materials, having authored 107 papers that have together received 1.5k indexed citations. Recurring topics across this work include Block Copolymer Self-Assembly (26 papers), Porphyrin and Phthalocyanine Chemistry (19 papers) and Nanomaterials for catalytic reactions (19 papers). The work is most often cited by research in Materials Chemistry (974 citations), Biomaterials (232 citations) and Electronic, Optical and Magnetic Materials (300 citations). Hong-Guo Liu has collaborated with scholars based in China, South Korea and Australia. Frequent co-authors include Yong‐Ill Lee, Jingcheng Hao, Dong‐Jin Qian, Xu-Sheng Feng, Jianzhuang Jiang, Kuangcai Chen, Kiwan Jang, Suhyun Park, Yanli Chen and Fuzhai Cui. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Science of The Total Environment and The Journal of Physical Chemistry B.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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